Optimal feature selection for a weighted k-nearest neighbors for compound fault classification in wind turbine gearbox by Samuel M. Gbashi, Paul A. Adedeji, Obafemi O. Olatunji, Nkosinathi Madushele

“…However, the basic k-NN model is constrained by the curse of dimensionality, rendering it ineffective at capturing the dynamics in high-dimensional turbine gearbox vibration signals. To address this problem, this study advanced a framework for choosing the best features for a k-NN fault diagnostic model while also leveraging the benefits of “weighting” to further improve its performance. …”
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Proteomics and machine learning: Leveraging domain knowledge for feature selection in a skeletal muscle tissue meta-analysis by Alireza Shahin-Shamsabadi, John Cappuccitti

“…Typically, proteomics research focuses narrowly on using a limited number of datasets, hindering cross-study comparisons, a problem that can potentially be addressed by machine learning. …”
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Psychomedical named entity recognition method based on multi-level feature extraction and multi-granularity embedding fusion by Zixuan Liu, Guofang Zhang, Yanguang Shen

“…Migrating NER models from the general purpose domain to the psychomedical domain are not effective in improving entity recognition accuracy. To solve this problem, we propose a NER method based on multi-level feature extraction and multi-granularity embedding fusion (MFME-NER), which aims to provide an innovative solution. …”
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Semantic Segmentation of Aerial Laser Point Clouds Based on Deep-Residual Enhanced Coding of Multi-Feature Information by Xin Luo, Peng Lin, Xiaoxi Li, Zuqi Wei, Hai Li

“…Then, a novel structure for feature aggregation, named SEP–PointNet, is introduced to encode the auxiliary and geometric features of points separately. …”
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SCM-DL: Split-Combine-Merge Deep Learning Model Integrated With Feature Selection in Sports for Talent Identification by Didem Abidin, Muhammed G. Erdem

“…In TID2, nine different feature selection methods (four RFE-related methods, three SelectKBest-related methods, and Lasso and Boruta) are applied to reduce the number of features. …”
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A Recognition Model Based on Multiscale Feature Fusion for Needle-Shaped <i>Bidens</i> L. Seeds by Zizhao Zhang, Yiqi Huang, Ying Chen, Ze Liu, Bo Liu, Conghui Liu, Cong Huang, Wanqiang Qian, Shuo Zhang, Xi Qiao

“…To solve the problem that traditional seed recognition methods are not completely suitable for needle-shaped seeds, such as <i>Bidens</i> L., in agricultural production, this paper proposes a model construction idea that combines the advantages of deep residual models in extracting high-level abstract features with multiscale feature extraction fusion, taking into account the depth and width of the network. …”
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Kombinasi Feature Selection Fisher Score dan Principal Component Analysis (PCA) untuk Klasifikasi Cervix Dysplasia by Krisan Aprian Widagdo, Kusworo Adi, Rahmat Gernowo

“…In this case, Machine Learning can solve this problem. However, Machine learning depends on the features used. …”
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Accuracy Improvement of Breast Tumor Detection based on Dimension Reduction in the Spatial and Edge Features and Edge Structure in the Image by Samaneh Sadat Seyed Abolghasemi, Mehran Emadi, Mohsen Karimi

“…Ultrasound images and ultrasound imaging method is an effective method in examining the challenges, problems and diseases related to the breast in women. …”
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FEATURES OF INTENSIVE NUTRITIONAL SUPPORT OF PREMATURE INFANTS IN THE POSTRESUSCITATION PERIOD AFTER DISCHARGE FROM HOSPITAL (PART 2) by K.V. Romanenko, A.P. Averin, A.F. Kiosov, A.I. Gaeva, N.Yu. Bogachev

“…This review considers specific problems of premature infants in the first year of life related to nutritional deficiencies and lack of basic food nutrients. …”
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Features of dimentional design system for asphalt concrete mix on superpave technology and bituminous binder of pg grade determination by N. I. Bryzgalov, A. F. Kemalov

“…The elimination of the above problems is carried out due to the most reasonable selection of the components of the asphalt concrete mixture.Materials and methods. …”
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Special Considerations in Teaching the Academic Discipline «Fundamentals of Forensic Engineering (Construction Forensics)» by A. Yu. Butyrin, E. B. Stativa

“…Based on a detailed analysis of the specifics of teaching the foundations of forensic engineering and construction forensics, as well as distinguishing features of the forensic field itself, the authors identify a number of significant didactic problems and offer solutions. …”
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Wojna i pokój? Publicystyka rosyjskojęzyczna w przekładzie na język polski po lutym 2022 roku by Alicja Pstyga

“… Referring to the main theme of the conference, the author addresses the problem of translating Russian-language journalism amid the ongoing war in Ukraine. …”
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Optical Coherence Tomography-Based Fingerprint Presentation Attack Detection via Multi-Tissue Features Contribution Analysis by Zhanqing Li, Jie Ji, Jiajin Qi, Haonan Fang, Yipeng Liu

“…The module can amplify crucial fingertip features and extracts more key fingertip information, thereby improving the anti-spoofing performance.…”
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Characteristics of online behavior and structure of consumed content in Abakan adolescents of different age, groups and ethnicity by L. S. Evert, T. V. Potupchik, Yu. R. Kostyuchenko

“…One of the reasons for the greater prevalence of maladaptive online behavior among Khakasses may be the association of maladaptive Internet use with the presence of emotional disorders and behavioral problems that reach the borderline level and are causally significant factors in the development of Internet addiction. …”
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Modified generative adversarial network and Pseudo- Zernike matrix features extraction for human-computer interactive gesture recognition by Jing Yu, Lu Zhao

“…In order to improve the current situation that the existing gesture recognition algorithms need a lot of training data, this paper proposes a modified generative adversarial network (GAN) and Pseudo-Zernike matrix features extraction method to solve the problems of low recognition accuracy and complex recognition process. …”
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Features of the formation of a system of ESG–indicators of non–financial reporting to assess the business activity and trustworthiness of counterparties by N. A. Lazareva

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Features of Social Structure of Adyghes (Shapsugs, Natukhais and Abadzekhs) in First Half of 19^th Century by I. Kh. Tkhamokova

“…The relevance of the study is due to the fact that this problem is of interest for Caucasian studies and for solving theoretical problems of history and ethnography. …”
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Seropositive juvenile rheumatoid arthritis with Sjo gren's syndrome: features of diagnosis and treatment choice (a case report) by M. I. Kaleda, I. P. Nikishina, A. N. Latypova

“…It discusses the clinical features of SS and the problems of its diagnosis in pediatric practice. …”
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Real-time early corn and weed classification using hybrid visual features based on parallel processing and tracking by Faisal Dharma Adhinata, Wahyono, Raden Sumiharto

“…The combination of visual features through feature selection is also applied in this research. …”
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A computational approach and software package RNAexploreR for grouping RNA molecules of human genes by exon features by M. M. Yatskou, V. V. Skakun, V. V. Grinev

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